Whose Maturity is it Anyway?: The Influence of Different Quantitative Methods on the Design and Assessment of Maturity Models

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

This paper presents results from an ongoing empirical study that seeks to understand the influence of different quantitative methods on the design and assessment of maturity models. Although there have been many academic publications on maturity models, there exists a significant lack of understanding of the potential impact of (a) choice of the quantitative approach, and (b) scale of measurement on the design and assessment of the maturity model. To address these two methodological issues, we analysed a social media maturity data set and computed maturity scores using different quantitative methods prescribed in literature. Specifically, we employed five methods (Additive, Variance, Cluster, Minimum Constraint, and RASCH) and compared the sensitivity of measurement scale and maturity stages. Based on our results, we propose a set of methodological recommendations for maturity model designers.
This paper presents results from an ongoing empirical study that seeks to understand the influence of different quantitative methods on the design and assessment of maturity models. Although there have been many academic publications on maturity models, there exists a significant lack of understanding of the potential impact of (a) choice of the quantitative approach, and (b) scale of measurement on the design and assessment of the maturity model. To address these two methodological issues, we analysed a social media maturity data set and computed maturity scores using different quantitative methods prescribed in literature. Specifically, we employed five methods (Additive, Variance, Cluster, Minimum Constraint, and RASCH) and compared the sensitivity of measurement scale and maturity stages. Based on our results, we propose a set of methodological recommendations for maturity model designers.

Conference

ConferenceThe 25th European Conference on Information Systems (ECIS) 2017
Number25
LocationCentro Cultural Vila Flor
CountryPortugal
CityGuimarães
Period05/06/201710/06/2017
Internet address
SeriesProceedings of the European Conference on Information Systems
Volume2017
ISSN0000-0034

Keywords

  • Sharing economy
  • Trust-enhancing signals
  • Price premium
  • Discrete choice experiment

Cite this

Lasrado, L. A., Vatrapu, R., & Mukkamala, R. R. (2017). Whose Maturity is it Anyway? The Influence of Different Quantitative Methods on the Design and Assessment of Maturity Models. In ECIS 2017 Proceedings (pp. 2918-2927). Atlanta, GA: Association for Information Systems. AIS Electronic Library (AISeL). Proceedings of the European Conference on Information Systems, Vol.. 2017
Lasrado, Lester Allan ; Vatrapu, Ravi ; Mukkamala, Raghava Rao. / Whose Maturity is it Anyway? The Influence of Different Quantitative Methods on the Design and Assessment of Maturity Models. ECIS 2017 Proceedings. Atlanta, GA : Association for Information Systems. AIS Electronic Library (AISeL), 2017. pp. 2918-2927 (Proceedings of the European Conference on Information Systems, ???volume??? 2017).
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abstract = "This paper presents results from an ongoing empirical study that seeks to understand the influence of different quantitative methods on the design and assessment of maturity models. Although there have been many academic publications on maturity models, there exists a significant lack of understanding of the potential impact of (a) choice of the quantitative approach, and (b) scale of measurement on the design and assessment of the maturity model. To address these two methodological issues, we analysed a social media maturity data set and computed maturity scores using different quantitative methods prescribed in literature. Specifically, we employed five methods (Additive, Variance, Cluster, Minimum Constraint, and RASCH) and compared the sensitivity of measurement scale and maturity stages. Based on our results, we propose a set of methodological recommendations for maturity model designers.",
keywords = "Sharing economy, Trust-enhancing signals, Price premium, Discrete choice experiment, Sharing economy, Trust-enhancing signals, Price premium, Discrete choice experiment",
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Lasrado, LA, Vatrapu, R & Mukkamala, RR 2017, Whose Maturity is it Anyway? The Influence of Different Quantitative Methods on the Design and Assessment of Maturity Models. in ECIS 2017 Proceedings. Association for Information Systems. AIS Electronic Library (AISeL), Atlanta, GA, Proceedings of the European Conference on Information Systems, vol. 2017, pp. 2918-2927, Guimarães, Portugal, 05/06/2017.

Whose Maturity is it Anyway? The Influence of Different Quantitative Methods on the Design and Assessment of Maturity Models. / Lasrado, Lester Allan ; Vatrapu, Ravi; Mukkamala, Raghava Rao.

ECIS 2017 Proceedings. Atlanta, GA : Association for Information Systems. AIS Electronic Library (AISeL), 2017. p. 2918-2927.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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T1 - Whose Maturity is it Anyway?

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N2 - This paper presents results from an ongoing empirical study that seeks to understand the influence of different quantitative methods on the design and assessment of maturity models. Although there have been many academic publications on maturity models, there exists a significant lack of understanding of the potential impact of (a) choice of the quantitative approach, and (b) scale of measurement on the design and assessment of the maturity model. To address these two methodological issues, we analysed a social media maturity data set and computed maturity scores using different quantitative methods prescribed in literature. Specifically, we employed five methods (Additive, Variance, Cluster, Minimum Constraint, and RASCH) and compared the sensitivity of measurement scale and maturity stages. Based on our results, we propose a set of methodological recommendations for maturity model designers.

AB - This paper presents results from an ongoing empirical study that seeks to understand the influence of different quantitative methods on the design and assessment of maturity models. Although there have been many academic publications on maturity models, there exists a significant lack of understanding of the potential impact of (a) choice of the quantitative approach, and (b) scale of measurement on the design and assessment of the maturity model. To address these two methodological issues, we analysed a social media maturity data set and computed maturity scores using different quantitative methods prescribed in literature. Specifically, we employed five methods (Additive, Variance, Cluster, Minimum Constraint, and RASCH) and compared the sensitivity of measurement scale and maturity stages. Based on our results, we propose a set of methodological recommendations for maturity model designers.

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KW - Trust-enhancing signals

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KW - Price premium

KW - Discrete choice experiment

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Lasrado LA, Vatrapu R, Mukkamala RR. Whose Maturity is it Anyway? The Influence of Different Quantitative Methods on the Design and Assessment of Maturity Models. In ECIS 2017 Proceedings. Atlanta, GA: Association for Information Systems. AIS Electronic Library (AISeL). 2017. p. 2918-2927. (Proceedings of the European Conference on Information Systems, Vol. 2017).